Python中的数据可用性图表

Question

我想知道Python是否可以通过某些变量来绘制具有多个变量的时间序列的数据可用性。下面显示一个取自Visavail.js - A Time Data Availability Chart的示例。

Answer 1

这是在Jupyter笔记本中使用plot的建议：

代码：

import random
import pandas as pd
import plotly.express as px
from random import choices

# random data with a somewhat higher
# probability of 1 than 0 to mimic OPs data
random.seed(1)
vals=[0,1]
prob=[0.4, 0.6]
choices(vals, prob)

data=[]
for i in range(0,5):
    data.append([choices(vals, prob)[0] for c in range(0,10)])

# organize data in a pandas dataframe
df=pd.DataFrame(data).T
df.columns=['Balance Sheet', 'Closing Price', 'Weekly Report', 'Analyst Data', 'Annual Report']
drng=pd.date_range(pd.datetime(2080, 1, 1).strftime('%Y-%m-%d'), periods=df.shape[0]).tolist()
df['date']=[d.strftime('%Y-%m-%d') for d in drng]
dfm=pd.melt(df, id_vars=['date'], value_vars=df.columns[:-1])

# plotly express
fig = px.bar(dfm, x="date", y="variable", color='value', orientation='h',
             hover_data=["date"],
             height=600,
             color_continuous_scale=['firebrick', '#2ca02c'],
             title='Data Availabiltiy Plot',
             template='plotly_white',
            )

fig.update_layout(yaxis=dict(title=''), xaxis=dict(title='', showgrid=False, gridcolor='grey',
                  tickvals=[],
                            )
                 )
fig.show()